In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Code Climate and Google Vertex AI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Get authenticated user
Retrieve the currently authenticated user's details.
Get organizations
Fetch the list of organizations the user belongs to.
Get permissions
Retrieve the permissions for the specified organization.
Get members
Fetch the members of a specified organization.
Remove member
Remove a member from the specified organization.
Get permissions
Retrieves permissions such as which members can manage issues and/or approve pull requests.
Get members
Retrieves the members of a specific organization.
Get repositories
Retrieve a list of repositories within an organization.
Get repository
Get details of a specific repository.
Get issues
Retrieve a list of issues related to a repository.
Get test coverage reports
Fetch the test coverage reports for a specified repository.
Get rating changes
Retrieve rating changes for a repository's pull requests.
Approve PRs
Approve a specified pull request.
List members
Returns listing of active members for the specified organization that the authenticated user has access to.
Remove member
Removes the given user from the account members.
Create organization
Creates a new single-person organization with the specified attributes.
Add private repository
Adds the repository to the specified organization.
List repositories
Returns listing of repositories for the specified organization that the authenticated user has access to.
Get repository
Retrieves information about the specified repository.
Get repository
Retrieves information about the specified repository.
Trigger event
Trigger an event to be consumed by one of the repository's service integrations.
Add public repository
Add a GitHub open source repository to Code Climate.
Update private repository
Update the settings of a private repository.
Delete repository
Delete a private repository on Code Climate.
List issues
Returns a paginated collection of analysis issues found by the snapshot.
List files
Retrieve analysis of files associated with a given snapshot.
List builds
Retrieve running builds associated with a repository.
Get ref points
First page of ref points for the master branch only, which have completed Code Climate analysis.
List ref points
Returns collection of ref points for the repository.
List services
Returns a collection of (external) service integrations for a particular repository.
Get issues
Retrieve issues related to a repository snapshot.
Get snapshot
Retrieves information associated with a given snapshot.
Get build
A build represent an attempt to run analysis on a particular commit of a repository.
Get time series
Returns information about a particular repository metric as a time series.
Get metrics
Retrieves a specific metric for a repository.
List test_reports
Gets collection of test coverage reports, sorted by committed at descending.
Get rating changes for files in a pull request
Returns rating changes for files in a pull request.
Approve PRs
Approves a given pull request.
Get collection of test coverage file reports
Gets collection of test coverage file reports, containing line by line coverage information.
To set up Code Climate integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Code Climate to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Code Climate official documentation to get a full list of all API endpoints and verify the scraped ones!
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
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